Triple
T9540733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelheim (district) |
E230148
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Siegenburg
Siegenburg is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the Kelheim district.
|
E805672
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Siegenburg | Statement: [Kelheim (district), containsMunicipality, Siegenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegenburg Context triple: [Kelheim (district), containsMunicipality, Siegenburg]
-
A.
Siegburg
Siegburg is a historic town in North Rhine-Westphalia, Germany, known for its medieval abbey and location near Bonn and Cologne.
-
B.
Giessenburg
Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
-
C.
Marienberg
Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
-
D.
Mühlburg
Mühlburg is a district of Karlsruhe in the German state of Baden-Württemberg, historically known as the birthplace of automobile pioneer Karl Benz.
-
E.
Wechselburg
Wechselburg is a small municipality in Saxony, Germany, known for its historic Benedictine monastery and scenic location along the Zwickauer Mulde river.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siegenburg Triple: [Kelheim (district), containsMunicipality, Siegenburg]
Generated description
Siegenburg is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the Kelheim district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siegenburg Target entity description: Siegenburg is a market town and municipality in Lower Bavaria, Germany, known for its rural character and location within the Kelheim district.
-
A.
Siegburg
Siegburg is a historic town in North Rhine-Westphalia, Germany, known for its medieval abbey and location near Bonn and Cologne.
-
B.
Giessenburg
Giessenburg is a village in the Dutch province of South Holland, known for its rural character and location along the river Giessen.
-
C.
Marienberg
Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
-
D.
Mühlburg
Mühlburg is a district of Karlsruhe in the German state of Baden-Württemberg, historically known as the birthplace of automobile pioneer Karl Benz.
-
E.
Wechselburg
Wechselburg is a small municipality in Saxony, Germany, known for its historic Benedictine monastery and scenic location along the Zwickauer Mulde river.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c6538b08190a9f81304214a876d |
completed | April 4, 2026, 5:37 p.m. |
| NEDg | Description generation | batch_69d14d44b7f08190b66fecb315b37535 |
completed | April 4, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14e0823e881908ed723d20f14789b |
completed | April 4, 2026, 5:44 p.m. |
Created at: March 30, 2026, 8:01 p.m.